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) Familiarity with using R and/or Python for answering biological questions (desired) WE OFFER: An international, multidisciplinary, and creative working environment Innovative technologies Excellent
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of innovation in physical sciences, create collaborations and new avenues in life science which will lead to new therapeutics and advance our understanding of human biology. If you are a creative scientist who
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to enable remote orchestration of energy systems. Working with RT-HIL environments (e.g. OPAL-RT, Typhoon) to validate cloud-controlled systems interacting with real hardware. Developing and testing scalable
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of Medicine, New York, NY Research environment for postdoctoral fellows: At the Albert Einstein College of Medicine ( https://einsteinmed.edu/ ) we provide a highly interactive and stimulating academic
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HPC environments Good communication skills to interact with collaborators ranging from machine learning researchers to pathologists or medical students Knowledge of biology and medicine is a plus Highly
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that the successful candidate has a personality that promotes positive interactions with group members and staff. Together, we define the future of the group, both scientifically and with respect
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, creative thinking, problem solving, and teamwork will be strongly promoted Work-life balance: Münster is one of the cities with best quality of life! Modern infrastructure, international and collaborative
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or TensorFlow. The motivation and dedication to lead a scientific project and you are a supportive, creative and responsible team member. You may also have Expertise in biological data science and data-driven
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Group Leaders and Postdoctoral Researchers: Global Call for Scientific Talent at Fondazione Telethon
asset of our network is the close interaction with experts in regulatory science, CMC (chemistry, manufacturing and controls), and translational development, which significantly enhances the potential
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function is directed by the genetic material, and how it interacts with various kinds of micro-organisms. Using this knowledge, we try to elucidate the causes of diseases, and find new ways to diagnose and